A neuronal algorithm for metacognitive monitoring of conflicting actions
Description of the granted funding
Imagine stopping just in time to avoid being hit by a car. After almost being hit, we act more carefully in the future. The brain must have neurons to detect these situations and adjust action policy. fMRI studies show that the anterior cingulate cortex (ACC) detects these situations by monitoring for the simultaneous activation of opposing actions (like stopping yourself from walking in front of a car). While it is known that the ACC becomes active in these situations, the calculation performed by ACC neurons to quantify conflict is unknown. Here, we record spiking of single ACC neurons and motor cortex neurons and use mathematical modeling to uncover the computation or “neuronal algorithm” underlying our ability to detect and adjust our behavior.
Show moreStarting year
2025
End year
2029
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy projects
Decision maker
Scientific Council for Biosciences, Health and the Environment
16.06.2025
16.06.2025
Other information
Funding decision number
371486
Fields of science
Neurosciences
Research fields
Systeeminen ja kognitiivinen neurotiede
Identified topics
autonomous systems, automated driving